Success of IoT in Smart Cities of India: An empirical analysis

Government Information Quarterly

Volumn 35, Issue 3, 2018, Pages 349-361

  Chatterjee, Sheshadri ^a   Kar, Arpan Kumar ^a   Gupta, M P ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Government; Information system success; Internet of things (IoT); Smart cities of India (SCI)

Indexed keywords

EID: 85048756348     PISSN: 0740624X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.giq.2018.05.002     Document Type: Article

References (97)

1. Arenda-Toth, J.V., Van de Vijver, F.J.R., Acculturation attitudes: A comparison of measurement methods. Journal of Applied Social Psychology 37:7 (2007), 1462–1488.
2. Bagozzi, R.P., Yi, Y., On the evaluation of structural equation models. Journal of the Academy of Marketing Science 16:1 (1988), 74–94.
3. Bailey, J., Pearson, S., Development of a toll for measuring and analyzing user satisfaction. Management Science 29:5 (1983), 530–545.
4. Bandyopadhyay, K., Bandyopadhyay, S., User acceptance of information technology across cultures. International Journal of Intercultural Information Management 2:3 (2010), 218–231.
5. Barroso, C., Carrion, G.C., Roldan, J.L., Applying maximum likelihood and PLS on different sample sizes: Studies on SERVQUAL Model and employee behaviour model. Esposito Vinzi, V., Chin, W.W., Henseler, J., Wang, H., (eds.) Handbook of Partial Least Squares: Concepts, Methods and Applications, 2010, Springer, Heidelberg, 427–447.
6. Belardo, S., Karwan, K.R., Wallace, W.A., DSS component design through field experimentation: An application to emergency management. Proceedings of the third international conference on information systems, 1982, 93–108.
7. Bettman, J.R., Johnson, E.J., Payne, J.W., A componential analysis of cognitive effort in choice. Organizational Behavior and Human Decision Processes 45:1 (1990), 111–139.
8. Bharati, P., Chaudhury, A., An empirical investigation of decision making satisfaction in web based decision support systems. Decision Support Systems 37:2 (2004), 187–197.
9. Byrne, B.M., Structural equation modeling with EQS and EQS/Windows. 1994, Sage, Newbury Park.
10. Celic, H., What determines Turkish customer's acceptance of internet banking?. The International Journal of Bank Marketing 26:5 (2008), 353–370.
11. Chang, M.K., Cheung, W., Determinants of the intention to use internet/WWW at work: A confirmatory study. Information Management 39:1 (2001), 1–14.
12. Chatterjee, S., Kar, A.K., Smart cities in developing economies: A literature review and policy insights. IEEE international conference on advances in computing, communications and informatics. Kochi, India, 2015, 2335–2340.
13. Chatterjee, S., Kar, A.K., Successful adoption of IT enabled services in proposed Smart City of India: A critical analysis for user experience perspective. Journal of Science and Technology Policy Management, 2017 Available at https://doi.org/10.1108/JSTPM-03-2017-0008.
14. Chatterjee, S., Kar, A.K., Gupta, M.P., Critical success factors to establish 5G network in smart cities – Inputs for security and privacy. Journal of Global Information Management 25:2 (2017), 14–36.
15. Chauhan, S., Agarwal, N., Kar, A.K., Addressing big data challenges in smart cities: a systematic literature review. Info 18:4 (2016), 73–90.
16. Chin, W.W., Issues and opinion on structural equation modeling. MIS Quarterly 22:1 (1998), 7–16.
17. Chong, A.Y.L., Liu, M.J., Luo, J., Keng-Boon, O., Predicting RFID adoption in healthcare supply chain from the perspectives of users. International Journal of Production Economics 159 (2015), 66–75.
18. Collier, J., Bienstock, C., Measuring service quality in E-retailing. Journal of Service Research 8:3 (2006), 260–275.
19. Coyle, J.R., Thorsen, E., The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of Advertising 30:3 (2001), 65–77.
20. Davis, F.D., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13:3 (1989), 318–339.
21. DeLone, W.H., McLean, E.R., Information systems success revisited. In Proceedings of the 35th Hawaii international conference on system sciences (HICSS 02), January 7–10, Big Island, Hawaii, 2002.
22. DeLone, W.H., McLean, E.R., Information systems success: The quest for the dependent variable. Information Systems Research 3:1 (2002), 60–95.
23. DeLone, W.H., McLean, E.R., The Delone and Mclean model of information systems success: A ten-year update. Journal of Management Information Systems 19:4 (2003), 9–30.
24. Dobrev, D., A definition of artificial intelligence. institute of mathematics and informatics. 2004, Bulgarian Academy of Sciences, Sofia 1090 Bulgaria.
25. Doll, W.J., Torkzadeh, G., The measurement of end user computing satisfaction. MIS Quarterly 12:2 (1988), 259–274.
26. Dwivedi, Y.K., Rana, N.P., Janssen, M., Lal, B., Williams, M.D., Clement, R.M., An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly 34:2 (2017), 211–230.
27. Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., Williams, M.D., Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 2017 https://doi.org/10.1007/s10796-017-9774-y.
28. Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B., Weerakkody, V., A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly 33:1 (2016), 174–187.
29. Falconer, G., Mitcheli, Smart City framework: A systematic process for enabling Smart Connected Communities. Retrieved February 12, 2017, from. http://www.cisco.com/c/dam/en_us/about/ac79/docs/ps/motm/Smart-City-Framework.pdf, 2012.
30. Fornell, C., Larcker, D.F., Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18:1 (1981), 39–50.
31. Gallagher, C.A., Perceptions of the value of a management information system. Academy of Management Journal 17:1 (1974), 46–55.
32. Gefen, D., Straub, D., A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Communications of the Association for Information Systems 16:2 (2005), 91–109.
33. Gosgerove, V., Smart cities: Introducing the IBM city operations and management solutions, IBM. 2011.
34. Grigoroudis, E., Litos, C., Moustakis, V., Politis, Y., Tsironis, L., The assessment of user-perceived web quality: Application of a satisfaction benchmarking approach. European Journal of Operational Research 187 (2008), 1346–1357.
35. Grover, P., Kar, A.K., Big data analytics – A review on theoretical contributions and tools used in literature. Global Journal of Flexible Systems Management 18:3 (2017), 203–229.
36. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M., Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29:7 (2013), 1645–1660.
37. Gujarati, D.N., Basic econometrics. 3rd Ed., 1995, McGraw-Hill International Editions, New York.
38. Gupta, R., The pattern of urban land use changes, a case study of Indian cities. SAGE Journal 5:1 (2014), 83–104.
39. Hair, J., Anderson, R., Tatham, R., Black, W., Multivariate data analysis with readings. 1998, MacMillan, New York.
40. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L., Multivariate data analysis. 6th ed., 2006, Prentice Hall, Upper Saddle River: NJ.
41. Haller, S., Karnouskos, S., Schroth, C., The internet of things in an enterprise context. Domingue, J., Fensel, D., Traverso, P., (eds.) Future Internet – FIS, 2009, Springer, Berlin, 14–28.
42. Hinkin, I.P., A review of scale development in the study of behavior in organizations. Journal of Management 21:5 (1996), 967–988.
43. Holsapple, C.W., Lee-Post, A., Defining, assessing, and promoting clearing success: An information systems perspective. Decision Sciences Journal of Innovative Education 4:1 (2006), 67–85.
44. Hu, L.T., Bentler, P.M., Fit indices in covariance structure modeling: Sensitivity to under parameterized model misspecification. Psychological Methods, 3(4), 1998, 424.
45. Hulland, J., Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal 20:2 (1999), 195–204.
46. Jiang, J.J., Klein, G., Crampton, S.M., A note on SERVQUAL reliability and validity in information systems service quality measurement. Decision Sciences 31:3 (2000), 725–744.
47. Joseph, N., Kar, A.K., Ilavarasan, V., Ganesh, S., Review of discussions on internet of things (IoT): Insights from twitter analytics. Journal of Global Information Management 25:2 (2017), 37–60.
48. Kapoor, K.K., Dwivedi, Y.K., Williams, M.D., Innovation adoption attributes: A review and synthesis of research findings. European Journal of Innovation Management 17:3 (2014), 327–348.
49. Kapoor, K.K., Dwivedi, Y.K., Williams, M.D., Rogers’ innovation adoption attributes: A systematic review and synthesis of existing research. Information Systems Management 31:1 (2014), 74–91.
50. Kettinger, W.J., Lee, C.C., Perceived service quality and user satisfaction with the information services function. Decision Sciences 25:5,6 (1995), 737–765.
51. Kettinger, W.J., Lee, C.C., Replication of measures of information systems research: The case of IS SERVQUAL. Decision Sciences 30:3 (1999), 893–899.
52. Khan, R., Khan, S.U., Zaheer, R., Khan, S., Future internet: The internet of things architecture, possible applications and key challenges. Frontiers of information technology 2012 proceedings of the international conference, Islamabad, Pakistan, 2012, 257–260.
53. King, W.R., Epstein, B.J., Assessing information system value. Decision Sciences 14:1 (1983), 34–45.
54. Kleinbaum, D., Kupper, L., Muller, K., Applied regression analysis and other multivariate methods. 1988, PWS, Boston.
55. Luarn, P., Lin, H.H., Toward an understanding of the behavioral intention to use mobile banking. Computer in Human Behaviour 21:6 (2005), 873–891.
56. Mahmood, M.A., Systems development methods – A comparative investigation. MIS Quarterly 11:3 (1987), 293–311.
57. Maira, L., Egils, G., Riccardo, M., Unified theory of acceptance and use of technology (UTAUT) for market analysis of FP7 CHOReOS products. Procedia Computer Science 26 (2013), 51–68.
58. Mathieson, K., Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research 2:3 (1991), 173–179.
59. Miller, J., Doyle, B.A., Measuring effectiveness of computer-based information systems in the financial services sector. MIS Quarterly 11:1 (1987), 107–124.
60. Mohammadi, Hossein, Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior 45 (2015), 359–374.
61. Mowen, J., Consumer behavior. 4th ed., 1995, Prentice Hall, Englewoods Cliffs, NJ.
62. Nunnally, J.C., Psychometric theory. 1978, McGraw-Hill, New York, NY.
63. Palmer, J.W., Web site usability, design, and performance metrics. Information Systems Research 13:2 (2002), 151–167.
64. Patel, K., Patel, S., Internet of things-IoT: Definition, characteristics, architecture, enabling technologies, Application & Future Challenges. International Journal of Engineering Science and Computing 69:5 (2016), 6122–6131.
65. Peoples, C., Parr, G., Mcclean, S., Scotney, B., Morrow, P., Performance evaluation of green data center management supporting sustainable growth of the internet of things. Simulation Modelling Practice and Theory 34 (2013), 221–242.
66. Petter, S., DeLone, W., McLean, E., Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems 17 (2008), 236–263.
67. Piccoli, G., Brohman, M.K., Watson, R.T., Parasuraman, A., Net-based customer service systems: Evolution and revolution in the web site functionalities. Decision Sciences 35:3 (2004), 423–455.
68. Rai, A., Lang, S.S., Welker, R.B., Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research 13:1 (2002), 50–69.
69. Raman, M., Stephenaus, R., Alam, N., Kuppusamy, M., Information technology in Malaysia: e-Service quality and update of internet banking. Journal of Internet Banking and Commerce 13:2 (2008), 1–18.
70. Rana, N.P., Dwivedi, Y.K., Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT). Government Information Quarterly 32:2 (2015), 172–181.
71. Rana, N.P., Dwivedi, Y.K., Lal, B., Williams, M.D., Clement, M., Citizens’ adoption of an electronic government system: Towards a unified view. Information Systems Frontiers 19:3 (2017), 549–568.
72. Rana, N.P., Dwivedi, Y.K., Williams, M.D., Weerakkody, V., Investigating success of an E-government initiative: Validation of an integrated IS success model. Information Systems Frontiers 17:1 (2015), 127–142.
73. Rana, N.P., Dwivedi, Y.K., Williams, M.D., Weerakkody, V., Adoption of online public grievance redressal system in India: Toward developing a unified view. Computers in Human Behavior 59 (2016), 265–282.
74. Robinson, J.P., Shaver, P.R., Wrightsman, L.S., Criteria for scale selection and evaluation in measures of personality and social psychological attitude. 1991, Academic Press, San Diego, California.
75. Rust, R.T., Kannan, P.K., E-service: A new paradigm for business in the electronic environment. Communications of the ACM 46:6 (2003), 36–42.
76. Sanders, G.L., MIS/DSS success measure. Systems, Objectives, Solutions 4 (1984), 29–34.
77. Schlick, J., Ferber, S., Hupp, J., IoT applications – Value creation for industry. 2013, River Publisher, Aalborg.
78. Schumacker, R.E., Lomax, R.G., A Beginner's guide to structural equation modeling. Lawrence Earlbaum Associated 3 (2004), 143–161 Mahwah, NJ.
79. Seddon, P.B., Staples, D.S., Patnayakuni, R., Bowtell, M., Dimensions of IS success. Communications of the AIS, 20(2), 1999.
80. Shareef, M.A., Dwivedi, Y.K., Kumar, V., Kumar, U., Reformation of public service to meet citizens’ needs as customers: Evaluating SMS as an alternative service delivery channel. Computers in Human Behavior 61 (2016), 255–270.
81. Shareef, M.A., Kumar, U., Kumar, V., Dwivedi, Y.K., E-government adoption model (GAM): Differing service maturity levels. Government Information Quarterly 28:1 (2011), 17–35.
82. Sharma, S.K., Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling. Information Systems Frontiers 1 (2017), 1–13.
83. Sharma, S.K., Gaur, A., Saddikuti, V., Rastogi, A., Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems. Behaviour & Information Technology 36:10 (2017), 1053–1066.
84. Sintef, O.V., Friess, P., Internet of things – From research and innovation to market deployment. River Publishers’ Series in Communication, 2014.
85. Sorebo, A., Sorebo, O., Sein, M., The influence of user involvement and personal innovativeness on user behavior. World Academy of Science, Engineering and Technology 32 (2007), 98–103.
86. Srinivasan, A., Alternative measures of system effectiveness: Associations and implications. MIS Quarterly 9:3 (1985), 243–253.
87. Sundmaeker, H., Guillemin, P., Friess, P., Woelffle, S., Vision and challenges for Realising the internet of things: CERP-IoT – Cluster of European research projects on the internet of things. European Commission – Information Society and Media DG, Brussels, 2010.
88. Tau, L., Wang, N., Future internet: The internet of things. Advanced Computer Theory and Engineering Proceedings of the International Conference, Chengdu, China, IEEE, Washington, DC, 2010, 376–380.
89. Tau, M., Teo, T.S.H., Factors influencing the adoption of internet banking. Journal of the Association for Information Systems 1:5 (2000), 1–42.
90. Tryfonas, T., Kiountouzis, E., Poulymenakou, A., Embedding security practices in contemporary information systems development approaches. Information Management and Computer Security 9:4 (2001), 183–197.
91. Turning, A.M., Can a machine think. The World of Mathematics, ed. James R. Newman 4 (1956), 2099–2123.
92. Urbach, N., Ahlemann, F., Structural equation modeling in information systems research using partial least squares. Journal of Information Technology, Theory and Applications 11:2 (2010), 5–40.
93. Van Dyke, T.P., Prybutok, V.R., Kappelman, L.A., Cautions on the use of the SERVQUAL measure to assess the quality of information systems services. Decision Sciences 30:3 (1999), 877–891.
94. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D., User acceptance of information technology: Toward a unified view. MIS Quarterly 27:3 (2003), 425–478.
95. Venkatesh, V., Thong, J., Xu, X., Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly 36:1 (2012), 157–178.
96. Yi, M.Y., Jackson, J.D., Park, J.S., Probst, J.C., Understanding information technology acceptance by individual professionals: Toward an integrative view. Information Management 43:3 (2006), 350–363.
97. Zuiderwijk, A., Janssen, M., Dwivedi, Y.K., Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly 32:4 (2015), 429–440.